COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Alzheimer’s disease touches millions of families across the United States and remains the most common neurodegenerative ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...